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Racism, sexism, and classism: The uneven terrain of student belonging in introductory biology classrooms.

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Sense of belonging supports student success in science, technology, engineering, and mathematics (STEM), yet prior research indicates that systemic inequities shape who feels included in college classrooms. Racism, sexism, and classism can shape students' belonging, which then can impact their outcomes. We studied students' sense of belonging in 56 large introductory biology courses that used active learning, reaching more than 4900 students. We used a QuantCrit methodological framework and hierarchical linear models to examine how the intersection of racism and sexism, and racism and classism, related to three components of students' belonging. Racism impacted groups differently, and its impact varied across intersecting identities and components of belonging. Sexism undermined women's comfort sharing ideas in class and seeking instructor help across racial/ethnic groups. Women in some racial/ethnic groups experienced greater connectedness to classmates than men. Classism diminished students' sense of belonging across most racial/ethnic groups. Disaggregating students into more racial/ethnic groups revealed important differences in the experiences of Native American, Latiné, Black/African, and two groups of Asian students. These findings demonstrate that within the same classroom, students can have profoundly different experiences and challenge us to recognize the influence of intersecting forms of oppression on our students.

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Am I Able to Predict How I Will Do? Examining Calibration in an Undergraduate Biology Course
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  • 10.1080/00219266.2016.1257503
A partial flip classroom exercise in a large introductory general biology course increases performance at multiple levels
  • Nov 17, 2016
  • Journal of Biological Education
  • Neil Lax + 2 more

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SELF-REGULATED LEARNING IN FIRST-YEAR STUDENTS IN AN INTRODUCTORY BIOLOGY COURSE AND THE STUDENT EXPERIENCES AND ACADEMIC IMPACTS OF A CAMPUS-WIDE METACOGNITIVE INTERVENTION
  • Jan 1, 2021
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Post-secondary students often have difficulty with self-regulated learning, particularly in terms of monitoring and accurately assessing their level of understanding and how that is translated into appropriate preparation for their rigorous college/university coursework. With the persistence of academic outcome gaps between marginalized and non-marginalized students in gateway STEM courses and concomitant differences in retention and graduation rates, it is important to understand how self-regulation of learning is developed in students in general, and among different student identities. Interventions and teaching practices need to be cognizant of the unique academic experience of students from different identities if they are to narrow nagging academic outcome gaps. In this dissertation, I investigate how aspects of self-regulated learning change for first-year students over the semester in an introductory biology course. I also explore how providing reflective opportunities for students to develop their metacognition independently, and their ability to make judgments about themselves as a learner, differ among student identity groups and these opportunities can improve academic performance. Several subscales of the Motivated Strategies for Learning Questionnaire (MSLQ) were used to determine levels of self-regulated learning at the start and end of first-year students’ introductory biology course. MANOVAs were conducted on survey scores from the start of the semester and again on changes between the start and end of the semester. Lower usage of higher cognitive and metacognitive strategies was detected for first-generation students of color at the beginning of the semester. Over the semester, decreases in task value for first-generation students were detected. Large decreases were also observed in self-efficacy and metacognitive strategy use for students of color who performed poorly on the first exam. The surveys demonstrated that different student identities develop self-regulated learning differently over the course of a semester. An intervention was designed to address student development of self-regulated learning, specifically metacognition. The Ace Your Course Challenge (AYCC) was a multi-week reflective survey intervention that followed a workshop on metacognition and effective study strategies. Interpretive qualitative analysis was performed on student responses and their experiences were compared between different student identities. Patterns of behavior were also analyzed. Finally, quantitative analyses were conducted to determine what impacts the AYCC had on academic performance measures. Self-reported improvements in learning included an improvement in confidence and preparedness for classes and exams, and better understanding and retention of course content. Students who described an increase in their confidence during the first week were two times

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Considering the Role of Affect in Learning: Monitoring Students' Self-Efficacy, Sense of Belonging, and Science Identity
  • Jan 1, 2014
  • CBE Life Sciences Education
  • Gloriana Trujillo + 1 more

While emphasis is often placed on assessing students' conceptual knowledge, less has been placed on investigating affective aspects of student biology learning. In this paper, we explore self-efficacy, sense of belonging, and science identity, as well as emerging assessment tools to monitor these dimensions of students' learning.

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  • Research Article
  • Cite Count Icon 15
  • 10.1186/s12052-016-0054-y
Student construction of phylogenetic trees in an introductory biology course
  • Apr 21, 2016
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  • Jonathan Dees + 1 more

Phylogenetic trees have become increasingly essential across biology disciplines. Consequently, learning about phylogenetic trees has become an important component of biology education and an area of interest for biology education research. Construction tasks, in which students generate phylogenetic trees from some type of data, are often used for instruction. However, the impact of these exercises on student learning is uncertain, in part due to our fragmented knowledge of what students construct during the tasks. The goal of this project was to develop a more robust method for describing student-generated phylogenetic trees, which will support future investigations that attempt to link construction tasks with student learning. Through iterative examination of data from an introductory biology course, we developed a method for describing student-generated phylogenetic trees in terms of style, conventionality, and accuracy. Students used the diagonal style more often than the bracket style for construction tasks. The majority of phylogenetic trees were constructed conventionally, and variable orientation of branches was the most common unconventional feature. In addition, the majority of phylogenetic trees were generated correctly (no errors) or adequately (minor errors only) in terms of accuracy. Suggesting extant taxa are descended from other extant taxa was the most common major error, while empty branches and extra nodes were very common minor errors. The method we developed to describe student-constructed phylogenetic trees uncovered several trends that warrant further investigation. For example, while diagonal and bracket phylogenetic trees contain equivalent information, student preference for using the diagonal style could impact comprehension. In addition, despite a lack of explicit instruction, students generated phylogenetic trees that were largely conventional and accurate. Surprisingly, accuracy and conventionality were also dependent on each other. Our method for describing phylogenetic trees constructed by students is based on data from one introductory biology course at one institution, and the results are likely limited. We encourage researchers to use our method as a baseline for developing a more generalizable tool, which will support future investigations that attempt to link construction tasks with student learning.

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  • 10.1662/0002-7685(2008)70[483:sbgpia]2.0.co;2
Students' Behaviors, Grades &amp; Perceptions in an Introductory Biology Course
  • Oct 1, 2008
  • The American Biology Teacher
  • Philip A Jensen + 1 more

Students enter college exceedingly confident that they will earn high grades and engage themselves fully in their courses (e.g., attend all of their classes and help-sessions, submit extra-credit work). However, students' grades and academic behaviors often do not match their expectations (Jensen & Moore, 2008; Moore, 2006b; Moore & Jensen, 2007a). This is especially true in introductory science courses, where grades and academic engagement are often low, even in courses taught by award-winning instructors (Congas et al., 1997; Friedman et al., 2001). Students' poor academic behaviors (e.g., skipping class, ignoring opportunities to improve their grades) often bewilder instructors, who understand that academic success depends largely on students' levels of academic engagement. In this study, we tried to understand what underlies students' academic behaviors and overconfidence. To do this, we analyzed the grades, academic behaviors, and academic predictions of students who earned differing final grades in a large introductory biology course. We asked three sets of questions, the first of which involved grades earned by students on exams throughout the course. How, on average, do students' grades fluctuate throughout the semester? Do students predict high grades late into the semester because their grades are high until late into the semester? The second set of questions involved students' beliefs about the academic behaviors that are important for success, such as class attendance, submission of extra-credit assignments, and attendance at help-sessions (Moore, 2006b; Moore & Jensen, 2007b). Students know that these behaviors are important for their academic success (Jensen & Moore, in press; Moore, 2003, 2006a). However, do students who earn different final grades actually exhibit different academic behaviors? Finally, we wondered how students' scores on exams throughout the semester affect students' confidence about their final grades. How accurately do students predict their grades throughout the semester? That is, how is students' confidence about their final grades affected by feedback (i.e., their grades on exams) that they receive during the semester? Methods Site of the Study & Its Students This study included 278 students enrolled in an introductory mixed-majors biology course at the University of Minnesota. The course covered topics typical of an introductory biology course, including evolution, cellular structure and function, molecular biology, genetics, and ecology. The population was 51% male and 49% female, averaged a 19.8 on the ACT, had a mean age of 19 years, and on average ranked in the 57th percentile of their high school classes. All students were taught in the same classroom by the same instructor who used identical syllabi, textbooks, grading rubrics, and pedagogical approaches. Grade Groups, Grade Cut-Offs & Determinations of Final Grades Students were grouped according to their final grades in the course, which were determined as follows: A= 90% and above, B= 80-89%, C= 70-79%, D= 60-69%, F= 59% and below. Course grades were calculated by averaging two equal scores: the exam score and the lab/homework score. The exam score (50%) included each of the three equally-weighted midterm exams (10% each) and a cumulative final exam (20%). The lab/homework score (50%) included the grade earned in the laboratory portion of the course (30%) and the homework component of the grade (20%), which was based on the completion of 15 assignments (some of which were done in class) throughout the semester. Class attendance was recorded every day with the submission of short, in-class writing assignments. Help Sessions An optional help-session was offered before each exam. These sessions were administered by a teaching assistant who had no knowledge of, or input to, the upcoming exams (i.e., students who attended the help-sessions got no inside information about that exam). …

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